PCA practice questions 41–50

1. Question 41 · 335 in bank

   You are developing your microservices application on Google Kubernetes Engine. During testing, you want to validate the behavior of your application in case a specific microservice should suddenly crash. What should you do?

   • AAdd a taint to one of the nodes of the Kubernetes cluster. For the specific microservice, configure a pod anti-affinity label that has the name of the tainted node as a value.
   • BUse Istio's fault injection on the particular microservice whose faulty behavior you want to simulate.
   • CDestroy one of the nodes of the Kubernetes cluster to observe the behavior.
   • DConfigure Istio's traffic management features to steer the traffic away from a crashing microservice.

   Show answer

   Answer: B

   Explanation

   I think that c) is not the correct answer. I am not a GKE or Kubernetes expert, so maybe I am wrong. My understanding is, that in Kubernetes a microservice can run on pods on different nodes and one node can contain pods running differend microservices - so to kill one node will not kill a microservice but several pods running on that node. Please correct me if I am wrong.

   Source: Adapted from community discussion — XDevX

   References

   • Google Cloud documentation
   • Google Cloud documentation

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2. Question 42 · 335 in bank

   Your company is developing a new application that will allow globally distributed users to upload pictures and share them with other selected users. The application will support millions of concurrent users. You want to allow developers to focus on just building code without having to create and maintain the underlying infrastructure. Which service should you use to deploy the application?

   • AApp Engine
   • BCloud Endpoints
   • CCompute Engine
   • DGoogle Kubernetes Engine

   Show answer

   Answer: A

   Explanation

   Compute Engine & Google Kubernetes Engine are not pure PaaS, so they will require some management and maintenance. So C & D are eliminated. Cloud Endpoints is also not best fit for the given requirement, so B is also eliminated. App Engine is fully managed platform.

   Source: Adapted from community discussion — rakp

   References

   • Google Cloud documentation

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3. Question 43 · 335 in bank

   Your company provides a recommendation engine for retail customers. You are providing retail customers with an API where they can submit a user ID and the API returns a list of recommendations for that user. You are responsible for the API lifecycle and want to ensure stability for your customers in case the API makes backward-incompatible changes. You want to follow Google-recommended practices. What should you do?

   • ACreate a distribution list of all customers to inform them of an upcoming backward-incompatible change at least one month before replacing the old API with the new API.
   • BCreate an automated process to generate API documentation, and update the public API documentation as part of the CI/CD process when deploying an update to the API.
   • CUse a versioning strategy for the APIs that increases the version number on every backward-incompatible change.
   • DUse a versioning strategy for the APIs that adds the suffix ג€DEPRECATEDג€ to the current API version number on every backward-incompatible change. Use the current version number for the new API.

   Show answer

   Answer: C

   Explanation

   Answer C All Google API interfaces must provide a major version number, which is encoded at the end of the protobuf package, and included as the first part of the URI path for REST APIs. If an API introduces a breaking change, such as removing or renaming a field, it must increment its API version number to ensure that existing user code does not suddenly break.

   Source: Adapted from community discussion — VishalB

   References

   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation

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4. Question 44 · 335 in bank

   Your company has developed a monolithic, 3-tier application to allow external users to upload and share files. The solution cannot be easily enhanced and lacks reliability. The development team would like to re-architect the application to adopt microservices and a fully managed service approach, but they need to convince their leadership that the effort is worthwhile. Which advantage(s) should they highlight to leadership?

   • AThe new approach will be significantly less costly, make it easier to manage the underlying infrastructure, and automatically manage the CI/CD pipelines.
   • BThe monolithic solution can be converted to a container with Docker. The generated container can then be deployed into a Kubernetes cluster.
   • CThe new approach will make it easier to decouple infrastructure from application, develop and release new features, manage the underlying infrastructure, manage CI/CD pipelines and perform A/B testing, and scale the solution if necessary.
   • DThe process can be automated with Migrate for Compute Engine.

   Show answer

   Answer: C

   Explanation

   BAD QUESTION! Does leadership mean the head of the company? the head of the department?the head of the team? different people concern different stuff. A or C A for me

   Source: Adapted from community discussion — taoj

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5. Question 45 · 335 in bank

   Your team is developing a web application that will be deployed on Google Kubernetes Engine (GKE). Your CTO expects a successful launch and you need to ensure your application can handle the expected load of tens of thousands of users. You want to test the current deployment to ensure the latency of your application stays below a certain threshold. What should you do?

   • AUse a load testing tool to simulate the expected number of concurrent users and total requests to your application, and inspect the results.
   • BEnable autoscaling on the GKE cluster and enable horizontal pod autoscaling on your application deployments. Send curl requests to your application, and validate if the auto scaling works.
   • CReplicate the application over multiple GKE clusters in every Google Cloud region. Configure a global HTTP(S) load balancer to expose the different clusters over a single global IP address.
   • DUse Cloud Debugger in the development environment to understand the latency between the different microservices.

   Show answer

   Answer: A

   Explanation

   21 NEw Qs - July 12, 2021 # 15. An application development team has come to you for advice.They are planning to write and deploy an HTTP(S) API using Go 1.12. The API will have a very unpredictable workload and must remain reliable during peaks in traffic. They want to minimize operational overhead for this application. What approach should you recommend? a. Use a Managed Instance Group when deploying to Compute Engine b. Develop an application with containers, and deploy to Google Kubernetes Engine (GKE) c. Develop the application for App Engine standard environment d. Develop the application for App Engine Flexible environment using a custom runtime Answer C, , please share you answers

   Source: Adapted from community discussion — kopper2019

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6. Question 46 · 335 in bank

   A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space. How can you remediate the problem with the least amount of downtime?

   • AIn the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
   • BShut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine
   • CIn the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux
   • DIn the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk
   • EIn the Cloud Platform Console, create a snapshot of the persistent disk restore the snapshot to a new larger disk, unmount the old disk, mount the new disk and restart the database service

   Show answer

   Answer: A

   Explanation

   least amount of downtime? is the sugar word. You miss that you miss all. Everything there is correct but I believe its only A that fits that requirement

   Source: Adapted from community discussion — passnow

   References

   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation

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7. Question 47 · 335 in bank

   Your company has a Kubernetes application that pulls messages from Pub/Sub and stores them in Filestore. Because the application is simple, it was deployed as a single pod. The infrastructure team has analyzed Pub/Sub metrics and discovered that the application cannot process the messages in real time. Most of them wait for minutes before being processed. You need to scale the elaboration process that is I/O-intensive. What should you do?

   • AUse kubectl autoscale deployment APP_NAME --max 6 --min 2 --cpu-percent 50 to configure Kubernetes autoscaling deployment.
   • BConfigure a Kubernetes autoscaling deployment based on the subscription/push_request_latencies metric.
   • CUse the --enable-autoscaling flag when you create the Kubernetes cluster.
   • DConfigure a Kubernetes autoscaling deployment based on the subscription/num_undelivered_messages metric.

   Show answer

   Answer: D

   Explanation

   Direct answer - D https://cloud.google.com/kubernetes-engine/docs/samples/container-pubsub-horizontal-pod-autoscaler apiVersion: autoscaling/v2beta2 kind: HorizontalPodAutoscaler metadata: name: pubsub spec: minReplicas: 1 maxReplicas: 5 metrics: - external: metric: name: pubsub.googleapis.com|subscription|num_undelivered_messages selector: matchLabels: resource.labels.subscription_id: echo-read target: type: AverageValue averageValue: 2 type: External scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: pubsub

   Source: Adapted from community discussion — aut0pil0t

   References

   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation
   • Google Cloud documentation

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8. Question 48 · 335 in bank

   Your company is developing a web-based application. You need to make sure that production deployments are linked to source code commits and are fully auditable. What should you do?

   • AMake sure a developer is tagging the code commit with the date and time of commit.
   • BMake sure a developer is adding a comment to the commit that links to the deployment.
   • CMake the container tag match the source code commit hash.
   • DMake sure the developer is tagging the commits with latest.

   Show answer

   Answer: C

   Explanation

   Developer shouldn't tag or comment every commit with some specific data, like timestamps or something else. There might be an app version, but it's not mentioned. I'd go with C as it's an automated, error-less approach that answers the question.

   Source: Adapted from community discussion — djosani

   References

   • Google Cloud documentation
   • Google Cloud documentation

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9. Question 49 · 335 in bank

   An application development team has come to you for advice. They are planning to write and deploy an HTTP(S) API using Go 1.12. The API will have a very unpredictable workload and must remain reliable during peaks in traffic. They want to minimize operational overhead for this application. Which approach should you recommend?

   • ADevelop the application with containers, and deploy to Google Kubernetes Engine.
   • BDevelop the application for App Engine standard environment.
   • CUse a Managed Instance Group when deploying to Compute Engine.
   • DDevelop the application for App Engine flexible environment, using a custom runtime.

   Show answer

   Answer: B

   Explanation

   Source code is written in specific versions of the supported programming languages: Python 2.7, Python 3.7, Python 3.8, Python 3.9 Java 8, Java 11 Node.js 10, Node.js 12, Node.js 14, Node.js 16 (preview) PHP 5.5, PHP 7.2, PHP 7.3, and PHP 7.4 Ruby 2.5, Ruby 2.6, and Ruby 2.7 Go 1.11, Go 1.12, Go 1.13, Go 1.14, Go 1.15, and Go 1.16 (preview)

   Source: Adapted from community discussion — cugena

   References

   • Google Cloud documentation

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10. Question 50 · 335 in bank

    Your company is designing its data lake on Google Cloud and wants to develop different ingestion pipelines to collect unstructured data from different sources. After the data is stored in Google Cloud, it will be processed in several data pipelines to build a recommendation engine for end users on the website. The structure of the data retrieved from the source systems can change at any time. The data must be stored exactly as it was retrieved for reprocessing purposes in case the data structure is incompatible with the current processing pipelines. You need to design an architecture to support the use case after you retrieve the data. What should you do?

    • ASend the data through the processing pipeline, and then store the processed data in a BigQuery table for reprocessing.
    • BStore the data in a BigQuery table. Design the processing pipelines to retrieve the data from the table.
    • CSend the data through the processing pipeline, and then store the processed data in a Cloud Storage bucket for reprocessing.
    • DStore the data in a Cloud Storage bucket. Design the processing pipelines to retrieve the data from the bucket.

    Show answer

    Answer: D

    Explanation

    D is ok The data needs to be stored as it is retrieved. This would mean that any processing should be done after it is stored.

    Source: Adapted from community discussion — vladik820

    References

    • Google Cloud documentation

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PCA practice, question 41. 335 questions available.